Robot Navigation

The fundamental objective of mobile Robot Navigation is to arrive at a goal position without collision. The mobile robot is supposed to be aware of obstacles and move freely in different working scenarios.

Source: Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis with Noise Model Embedding

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 241–250 of 542 papers

Title	Date	Tasks	Status	Hype
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents	Oct 22, 2022	Autonomous DrivingDialogue Act Classification	CodeCode Available	1
Differentiable Constrained Imitation Learning for Robot Motion Planning and Control	Oct 21, 2022	Decision MakingImitation Learning	—Unverified	0
JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking	Oct 20, 2022	DiversityMulti-Person Pose Estimation	—Unverified	0
Robot Navigation with Reinforcement Learned Path Generation and Fine-Tuned Motion Control	Oct 19, 2022	Reinforcement Learning (RL)Robot Navigation	—Unverified	0
Decision-Making Among Bounded Rational Agents	Oct 17, 2022	Decision MakingRobot Navigation	—Unverified	0
Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation	Oct 17, 2022	continuous-controlContinuous Control	—Unverified	0
Robot Navigation Anticipative Strategies in Deep Reinforcement Motion Planning	Oct 15, 2022	Motion PlanningRobot Navigation	—Unverified	0
ViewBirdiformer: Learning to recover ground-plane crowd trajectories and ego-motion from a single ego-centric view	Oct 12, 2022	Robot Navigation	—Unverified	0
Visual Language Maps for Robot Navigation	Oct 11, 2022	3D ReconstructionImage Captioning	CodeCode Available	2
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation	Oct 10, 2022	Autonomous NavigationBenchmarking	CodeCode Available	1

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All datasets Habitat 2020 Object Nav minival Habitat 2020 Object Nav test-std Habitat 2020 Point Nav test-std Habitat 2020 Point Nav minival

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SemExp	SPL	0.25	—	Unverified
2	SRCB-robot-sudoer	SPL	0.12	—	Unverified
3	Active Exploration (Pre-explore )	SPL	0.11	—	Unverified
4	Blue Ox	SPL	0.11	—	Unverified
5	RL	SPL	0.06	—	Unverified
6	Habitat-Web	SPL	0.03	—	Unverified
7	Objects In Mirror Are Closer Than They Appear	SPL	0	—	Unverified
8	Casa	SPL	0	—	Unverified
9	PPO RGBD	SPL	0	—	Unverified
10	Black Sheep	SPL	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	THDA	SPL	0.09	—	Unverified
2	6-Act Tether	SPL	0.08	—	Unverified
3	SRCB-robot-sudoer	SPL	0.07	—	Unverified
4	SemExp	SPL	0.07	—	Unverified
5	Active Exploration (Pre-explore )	SPL	0.04	—	Unverified
6	RGBD+DD-PPO	SPL	0.02	—	Unverified
7	RL_20_torch_18	SPL	0.02	—	Unverified
8	Blue Ox	SPL	0.02	—	Unverified
9	Black Sheep	SPL	0	—	Unverified
10	RandomAgent	SPL	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VO	SPL	0.53	—	Unverified
2	SLAM-net + D*	SPL	0.38	—	Unverified
3	OccupancyAnticipation	SPL	0.22	—	Unverified
4	Information Bottleneck	SPL	0.12	—	Unverified
5	ego-localization	SPL	0.12	—	Unverified
6	39	SPL	0.01	—	Unverified
7	cso	SPL	0.01	—	Unverified
8	UCULab	SPL	0.01	—	Unverified
9	Habitat Team (RGBD+DD-PPO)	SPL	0	—	Unverified
10	RandomAgent	SPL	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VO	SPL	0.61	—	Unverified
2	OccupancyAnticipation	SPL	0.6	—	Unverified
3	DAN	SPL	0.53	—	Unverified
4	Visual Odometry for Realistic PointGoal Navigation	SPL	0.5	—	Unverified
5	ego-localization	SPL	0.31	—	Unverified
6	Information Bottleneck	SPL	0.13	—	Unverified
7	Alstar	SPL	0.05	—	Unverified
8	RandomAgent	SPL	0	—	Unverified
9	UCULab	SPL	0	—	Unverified